Most social listening tools dump every single mention into your feed, leaving you to scroll through a mess of false positives. You add a keyword and suddenly you’re getting notified about memes, animal names, or random jokes. It's overwhelming and mostly useless.
SnitchFeed does things differently.
Instead of just tracking keywords, we use AI to figure out which mentions are actually worth your attention. You tell us what "relevance" means to you in plain English, and we score every mention accordingly. Then we surface only the highest scoring ones. It’s social listening without the noise.
In this guide, I’ll show you how to use SnitchFeed’s filters effectively to cut through the clutter and let the AI do the heavy lifting.
1. Start with your AI relevance criteria
This is the most powerful feature in SnitchFeed. You define what makes a mention relevant using a simple natural language prompt, and we use that to score every single hit.
You might say things like:
- "Show me posts where startup founders are talking about CRM tools."
- "Highlight complaints from users trying to leave Intercom."
- "Find LinkedIn posts where SaaS marketers are asking for help with attribution."
Be specific. Mention who the post should be from, what it should be about, and the context you're looking for. The clearer your criteria, the better our AI can sort the signal from the noise.
Unlike other tools that make you write boolean strings or regex, SnitchFeed just asks: what are you looking for?
2. Keywords
Keywords define the base layer of what to track. But short, vague keywords like notion or docs will bring a ton of irrelevant mentions.
Instead, use long-tail, intent-rich phrases that indicate someone is experiencing a problem or actively looking for alternatives.
Better keyword examples for a Notion alternative:
notion alternativestruggling with notionnotion vs confluencereplacing notionnotion limitationsdocs tool for remote teams
Each set of keywords gets its own listener in SnitchFeed, so keep them focused and specific.
3. Excluded Keywords: Remove Junk Before It Reaches You
Use the Excluded Keywords field to cut out common noise patterns or false positives.
This is helpful when your primary keyword is broad or appears in pop culture, memes, or tutorials.
Example: you're tracking notion but don’t want low-signal mentions
Exclude:
template marketplacefree notion widgetsaesthetic dashboardtutorial videodaily planner
This filter blocks any mention containing these words, even if your main keyword is present.
4. Whole Word: Avoid Partial Match Chaos
SnitchFeed lets you turn on Whole Word Matching so it doesn’t match your keyword when it appears as part of another word.
Why this matters:
If you’re tracking plan, you don’t want to match explanation.
If you're tracking fig, you don’t want config, figure, or figma.
Enable this if your keyword is short, ambiguous, or appears inside other words by accident.
5. Case Sensitive: Use Sparingly, but Usefully
Case Sensitive Matching is useful in specific situations where capitalization distinguishes meaning.
When to use it:
- If you're tracking a brand that only makes sense with a capital letter (e.g.
Applevsapple) - If lowercase variations are commonly used in unrelated contexts
For most use cases, case sensitivity isn't needed but it’s a good lever if you're getting weird matches.
6. Author Filters: Focus On or Block Specific Voices
You can limit mentions to come only from certain authors, or exclude authors you know are noisy, spammy, or irrelevant.
Only From These Authors
Use this to:
- Track competitors
- Monitor high-value influencers
- Filter for analysts or thought leaders
Exclude These Authors
Use this to:
- Block bots
- Remove meme accounts or high-frequency posters
- Clean up specific spam sources
- Exclude your own posts from being caught by SnitchFeed
Author filters are especially helpful on Twitter/X and Reddit, where certain users dominate feeds.
7. Subreddit Filtering
Reddit is incredible for unfiltered feedback, but only if you target the right corners of it.
SnitchFeed gives you full control with subreddit filtering.
Use "Only These Subreddits" to:
- Target high-signal forums like:
/r/SaaS/r/Productivity/r/startups/r/Notion(for competitor complaints)/r/Entrepreneur
Use "Exclude These Subreddits" to:
- Block generic, high-noise communities like:
/r/funny/r/memes/r/AskReddit/r/pics
You can also choose whether to scan Posts, Comments, or both. If you’re looking for deeper insights, don’t skip comments that’s where people usually vent or explain in detail.
SnitchFeed’s AI relevance engine helps you zoom in on meaningful mentions automatically but these filters give you control over what even reaches that stage.
Set tight, long-tail keywords. Block out the junk with exclusions and subreddit filters. Focus on who you're listening to. And let the AI handle the rest.
It’s the easiest way to go from drowning in mentions to getting exactly what you need and nothing else.